code: def combine_joined_12_mon(joined_df, testdf, **kwargs):
      chronometer = Chronometer.makeStarted()
      tables = {"joined_df": joined_df, "testdf": testdf}
      query = """SELECT j.loan_id, j.mrp_timestamp, j.timestamp_month,
                   j.timestamp_year, j.ever_30, j.ever_90, j.ever_180,
                   j.delinquency_30, j.delinquency_90, j.delinquency_180,
                  t.delinquency_12, t.upb_12
                  FROM main.joined_df as j LEFT OUTER JOIN main.testdf as t
                  ON j.loan_id = t.loan_id and
                  j.timestamp_year = t.timestamp_year
                  and j.timestamp_month = t.timestamp_month"""
      results = pyblazing.run_query(query, tables)
      Chronometer.show(chronometer, "Combine joind 12 month")
      return results
  
imports: import time
  import pandas
  import pyblazing
  from pyblazing import DriverType, FileSystemType
  from sklearn.model_selection import train_test_split
  import xgboost
  from Configuration import Settings
  from DataBase import createSchema
  from DemoTest.chronometer import Chronometer
  from Utils import Execution
label_desc: Use image node_id 13 for calling a global function with example usage: combine_joined_12_mon(joined_df, testdf) and returns: results